Journal of Diabetes & Metabolism

ISSN - 2155-6156

Elco Dunkerken

Department of Medical Psychology, VU University Medical Centre, Amsterdam, The Netherlands

Publications

  • Perspective   
    MEG resting-state network changes are linked to cognitive deterioration in type 1 diabetic patients.
    Author(s): Elco Dunkerken*

    Objective: For proper cognitive function, the integrity of resting-state functional brain networks (RSNs) is crucial. Cognitive decline is common in type 1 diabetes mellitus (T1DM), possibly as a result of changes in RSNs, which may vary depending on microvascular complication status. Using an impartial method and a high spatio-temporal resolution functional network, we therefore tested the hypothesis that functional connectivity in RSNs differs according to clinical status and correlates with cognition in T1DM patients. Methods: We collected resting-state magnetoencephalographic (MEG) data from 33 healthy participants and 42 T1DM patients with and without microvascular complications. A new atlas-based beamformer was used to reconstruct MEG time series at the source level. The phase lag index (PLI) was used to .. View More»
    DOI: 10.35248/2155-6156.1000988

    Abstract HTML PDF

Top